Car to cloud gateway reference design for Big Data analytics

February 23, 2016 //By Jean-Pierre Joosting
Car to cloud gateway reference design for Big Data analytics
Movimento and Aricent have unveiled a reference design for an intelligent automotive gateway, that will have a closed-loop OTA analytics system to continuously update and improve vehicle performance and services.

The sensors on today's automobiles generate enormous amounts of data but until today, virtually all of it has gone uncollected and unanalyzed. That situation has now changed with the introduction of what is claimed to be the industry’s first reference design for an on-board gateway and cloud-based service that will intelligently bring data to the cloud and turn that data into easy to understand, insightful business intelligence.

The raw data that is being generated by on-board sensors, cameras, Lidar, amongst others, will only accelerate as ADAS and self-driving cars become a reality — a rate that is expected to reach 1 gigabits per second by 2020, according to an Intel report.

“This data could amount to 5.4 terabytes daily,” explained Mahbubul Alam, CTO of Movimento Group.

"Imagine if this data was analyzed and used to create vehicle improvements and cost savings. We’re currently gathering less than 1% of the data generated," he added. "Car manufacturers and Tier One vendors have known they need to start making use of all this data but they don't have the resources to properly collect and analyze it. Now for the first time, they have a way to develop an intelligent car-to-cloud data analytics solution.”

The in-vehicle communications gateway relies upon Movimento’s smart data agent to selectively gather, aggregate and filter data and then send to the cloud for detailed analysis and action. The gateway links to a car’s internal communications bus and includes all the connectivity, storage and compute power. A cloud-based analytics platform and rules engine developed by Aricent allows the OEM to run both statistical and probabilistic models on the data to determine whether a software or firmware update should be scheduled at an appropriate time, for example at the next schedule maintenance event.

"We'll work with automotive OEMs to develop a gateway to fit their specific needs," said Aricent CEO Frank Kern. "We've already done the hard work of developing the

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